gemma_3_4b_toolcall_v1 : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: ./llama.cpp/llama-cli -hf m-elgebaly/gemma_3_4b_toolcall_v1 --jinja
  • For multimodal models: ./llama.cpp/llama-mtmd-cli -hf m-elgebaly/gemma_3_4b_toolcall_v1 --jinja

Available Model files:

  • gemma-3-4b-it.Q8_0.gguf
  • gemma-3-4b-it.F16-mmproj.gguf

⚠️ Ollama Note for Vision Models

Important: Ollama currently does not support separate mmproj files for vision models.

To create an Ollama model from this vision model:

  1. Place the Modelfile in the same directory as the finetuned bf16 merged model
  2. Run: ollama create model_name -f ./Modelfile (Replace model_name with your desired name)

This will create a unified bf16 model that Ollama can use.

Note

The model's BOS token behavior was adjusted for GGUF compatibility. This was trained 2x faster with Unsloth

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GGUF
Model size
4B params
Architecture
gemma3
Hardware compatibility
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8-bit

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